{
  "annotation_id": "df96a041-6d53-4fd9-a561-9914201362d0",
  "date_created": "2026-03-02T18:01:31.206000Z",
  "date_modified": "2026-03-02T18:01:31.206000Z",
  "file_hash": "1a86be332472c1cb036b209419990849c241b669e9b7347a153d11923d51c17d",
  "private": false,
  "record": {
    "abstract": "A dynamic model for failures in biological organisms is proposed and studied\nboth analytically and numerically. Each cell in the organism becomes dead under\nsufficiently strong stress, and is then allowed to be healed with some\nprobability. It is found that unlike the case of no healing, the organism in\ngeneral does not completely break down even in the presence of noise. Revealed\nis the characteristic time evolution that the system tends to resist the stress\nlonger than the system without healing, followed by sudden breakdown with some\nfraction of cells surviving. When the noise is weak, the critical stress beyond\nwhich the system breaks down increases rapidly as the healing parameter is\nraised from zero, indicative of the importance of healing in biological\nsystems.",
    "arxiv_id": "q-bio/0506029",
    "authors": [
      "J. Choi",
      "M. Y. Choi",
      "B. -G. Yoon"
    ],
    "categories": [
      "q-bio.CB",
      "physics.bio-ph"
    ],
    "doi": "10.1209/epl/i2004-10544-3",
    "title": "Dynamic model for failures in biological systems",
    "url": "https://arxiv.org/abs/q-bio/0506029"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "db57b0c5-252f-4bb6-9f62-40cd657d9c7d",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}